Data Engineer - Cloud Pipelines & Spark (Hybrid, Richmond)

Monmouth University

Richmond, Northern (VA, KY)

Hybrid

USD 90,000 - 120,000

Full time

7 days ago

Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

Monmouth University in Richmond, VA is seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines using Python, SQL, and modern ETL/ELT techniques in a hybrid work environment. You will work with cloud platforms (AWS, Azure, or GCP) and modern data platforms such as Databricks, Snowflake, Redshift, or BigQuery, plus PySpark for large-scale processing.

Collaborating with analysts, developers, and data scientists, you will ensure data quality, security, and

Qualifications

3-6 years of Data Engineering experience.
Strong hands-on experience with Python and SQL.
Experience with ETL/ELT and data pipeline development.
Experience with PySpark / Apache Spark.
Experience with Databricks and/or Snowflake.
Experience with AWS, Azure, or GCP.
Knowledge of data warehousing and data modeling.
Experience with Airflow, Azure Data Factory.

Responsibilities

Design, develop, and maintain scalable ETL/ELT data pipelines.
Develop and optimize data processing solutions using Python and SQL.
Integrate data from multiple structured and unstructured sources.
Work with cloud platforms such as AWS, Azure, or GCP.
Work with modern data platforms such as Databricks, Snowflake, Redshift, or BigQuery.
Monitor, troubleshoot, and optimize data pipelines.
Ensure data quality, reliability, security, and availability.
Collaborate with analysts, developers, data scientists, and business teams.